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From reading the docs, it's quite unclear what exactly is or isn't supported as custom objectives in XGBoost.
For example, one might wonder after reading the docs:
* Does it support convex objecti…
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Issue to collect material and input on adding categorical feature support, and summarizing discussion from various locations. For discussion.
### Aim
It has been requested a number of times to a…
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Comparisons are a reasonable operation to perform on a vector, and so a reasonable approach for comparing distributions with numbers or distributions is required.
This is especially problematic whe…
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As discussed offline, we should conduct a more thorough study on what performance impact we can expect (on holdout set) when using the `train set` error as a basis for choosing the best model as oppos…
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I am trying to implement at my company a probabilistic model using gluon-ts.
At the moment I am experimenting with the Python API, however, in the future, I am planning to move my codebase to Sage…
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nice answer and overview here, with references for R
http://stats.stackexchange.com/questions/70558/diagnostic-plots-for-count-regression
this may be interesting (not poisson), linked to in anoth…
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[`darts`](https://unit8co.github.io/darts/) is a great library for time series prediction. It would be great if bentoml supports the darts library.
Note: darts wraps a bunch of existing (time serie…
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### Issue details
RTMB is a wrapper interface that allows models written in R to be directly passed to TMB. Users no longer need to write models in C++ in order to access the TMB statistical inferenc…
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https://david-salazar.github.io/2020/06/04/varying-effects-for-continuous-predictors/
http://dirk.eddelbuettel.com/blog/2020/05/07/#rcpp_announce_talk_20200605
https://david-salazar.github.io/2020/0…
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Hi there!
First of all thanks for such a wonderful library. I was gonna ask for a feature and that is to save the training/validation loss for the models. It would be nice for the deep learning mod…